Method and device for generating true orthoimage based on three-dimensional gaussian satellite image

By using explicit scene representation and parallel projection rendering based on 3D Gaussian, the problem of high data acquisition cost and low computational efficiency in existing technologies is solved, and the ability to generate true orthophotos with high precision and speed is achieved, which is suitable for large-scale, high-resolution satellite imagery applications.

CN122289585APending Publication Date: 2026-06-26BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
Filing Date
2026-04-08
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies suffer from high data acquisition costs, long processing cycles, and high computational costs when generating true satellite imagery, especially in large-scale, high-resolution satellite imagery applications. Traditional methods rely on DSM or LiDAR data, resulting in inaccurate representation of building boundaries, while NeRF-based methods have low training efficiency.

Method used

We adopt an explicit scene representation based on 3D Gaussian, reconstruct the 3D scene through a multi-view satellite image set, and generate true orthophotos by using explicit 3D Gaussian voxels and parallel projection rendering, combined with joint optimization and iterative optimization mechanisms. This avoids dependence on expensive elevation data and high computational overhead of volume rendering.

Benefits of technology

It significantly reduces data acquisition costs and processing cycles, improves the accuracy of building boundary representation, and greatly enhances image rendering efficiency, adapting to the practical application needs of large-scale, high-resolution satellite imagery.

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Abstract

This application relates to the field of data processing technology, specifically disclosing a method and apparatus for generating true orthophotos from satellite images based on three-dimensional Gaussian projection. The method includes: acquiring a multi-view satellite image set of a target area and determining the initial imaging parameters of each satellite image; performing feature matching on each satellite image based on the initial imaging parameters to establish a two-dimensional feature point correspondence across images; generating an initial sparse point cloud based on the initial imaging parameters and the two-dimensional feature point correspondence; jointly optimizing the initial imaging parameters and the initial sparse point cloud to obtain optimized imaging parameters and a sparse point cloud; constructing an initial three-dimensional Gaussian scene based on the optimized sparse point cloud; iteratively optimizing the scene to obtain an optimized three-dimensional Gaussian scene; constructing virtual imaging parameters based on the optimized imaging parameters and determining the orthophoto projection method accordingly; and generating a true orthophoto image based on the optimized three-dimensional Gaussian scene and the virtual imaging parameters using the orthophoto projection method.
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